code: def take(self, batch_count: int = None) -> Any:
      x_shape = [self.batch_size, self.encoder_seq_length]
      y_shape = [self.batch_size, self.decoder_seq_length]
      dataset = tf.data.Dataset.from_generator(
          self.__iter__,
          output_types=(tf.int64, tf.int64),
          output_shapes=(x_shape, y_shape),
      )
      dataset = dataset.repeat()
      dataset = dataset.prefetch(50)
      if batch_count is None:
          batch_count = len(self)
      return dataset.take(batch_count)
  
imports: from abc import ABC
  from typing import Iterable, Iterator, TYPE_CHECKING
  from typing import List, Any, Tuple
  import numpy
  import tensorflow
label_desc: Use image node_id 4 for calling the Seq2SeqDataSet obj's underlying member method code with example usage: obj.take(batch_count) and returns: dataset